Mengsen Zhang

LetterArticles in Press103036Open access 1Carolina Center for Neurostimulation, Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA 2Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, NC, USA 3Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824 4Department of Obstetrics & Gynecology, School of Medicine, University of North Carolina at Chapel Hill, NC, USA...

Abstract Resting-state functional connectivity (RSFC) is altered across various psychiatric disorders. Brain network modeling (BNM) has the potential to reveal the neurobiological underpinnings of such abnormalities by dynamically modeling the structure-function relationship and examining biologically relevant parameters after fitting the models with real data. Although innovative BNM approaches have been developed, two main issues need to be further addressed.

Abstract The individual alpha frequency (IAF) has previously been identified as a unique neural signature within the 8-12 Hz alpha frequency band. However, the day-to-day variability of this feature is unknown. To accomplish this, healthy participants recorded their own brain activity daily at home using the Muse 2 headband, a low-cost consumer-grade mobile electroencephalography (EEG) device.